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    <title>Peak detection - Deconvolution - Local minimum search</title>
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<h1>Chromatogram deconvolution</h1>

<h2>Local minimum search</h2>

<p>
    This method is suitable for chromatograms with little noise and nice peak shapes. It searches for local minima in
    the chromatogram and separates individual peaks at these minimal points. Individual peaks are recognized if they
    fulfill the height and duration requirements. The <em>Chromatographic threshold</em> parameter can be used if the
    chromatogram contains some background noise.
</p>

<h4>Method parameters</h4>

<dl>
    <dt>Chromatographic threshold</dt>
    <dd>Threshold for removing noise. The algorithm finds the intensity such that the specified percentage of the
        chromatogram's data points are below that intensity; all such data points are removed.
    </dd>

    <dt>Search minimum in RT range</dt>
    <dd>A local minimum is considered to be the point that separates two adjacent peaks if it is minimal in the
        specified retention time range
    </dd>

    <dt>Minimum relative height</dt>
    <dd>Minimum height of a peak relative to the chromatogram's highest data point</dd>

    <dt>Minimum absolute height</dt>
    <dd>Minimum absolute height of a peak for it to be recognized</dd>

    <dt>Min ratio of peak top/edge</dt>
    <dd>Minimum ratio between a peak's top intensity and side (lowest) data points. This parameter helps to reduce the
        detection of false peaks in cases where the chromatogram is not smooth.
    </dd>

    <dt>Peak duration range</dt>
    <dd>Range of acceptable peak durations</dd>
</dl>

<p>
    <img src="local_minimum_search.png" alt="Local minimum search example">
</p>

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